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Language Skills

Python
SQL
R
C#

Certificates

Google Data Analytics Professional Certificate (7/2021)

More info

See full CV at github.com/elenaeggl/cv for more complete list of positions and publications.

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Source code: github.com/elenaeggl/cv.

Last updated on 2021-07-11.

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Dr. Elena Eggl

Physicist with a PhD in X-ray imaging and a passion for data. Several years of industry experience working as an application engineer in the laser industry with a strong focus on data analysis. Proficiency in data collection, data cleaning, statistical analysis, data mining, and data visualization using SQL, Python, R, spreadsheets and Tableau.

Education

Ph.D. Thesis, Physics

Munich, Germany

Technical University Munich

2017 - 2013

  • Thesis: Biomedical X-Ray Imaging at the Munich Compact Light Source
  • Research topics: X-ray physics, biomedical imaging, image processing, laser physics, resonator physics

M.Sc. Biophysics

Munich, Germany

Technical University Munich

2013 - 2011

  • Thesis: X-Ray Vector Radiography and MicroCT Measurements for Trabecular Bone Analysis

B.Sc. Physics

Munich, Germany

Technical University Munich

2011 - 2008

  • Thesis: Micro-Tomography Measurements and Structural Analysis of Human Vertebra Samples

Selected Positions

Application Engineer

Puchheim, Germany

SCANLAB GmbH

current - 2018

  • Development of a framework for statistical analysis of production data using SQL and Python enabling quality assurance
  • Implementation of internal applications for test standardization in Python and C#
  • Providing customer training and technical customer support for complex and time critical issues

Maternity Leave

Dachau, Germany

N/A

2018 - 2017

Graduate Research Assistant

Munich, Germany

Technical University Munich

2017 - 2013

  • Characterization of a laser-driven compact synchrotron source and X-ray imaging for biomedical applications
  • Image processing, statistical data analysis, and development of a module for dose calculation using Python and Matlab
  • Teaching for undergraduate students in lab courses and tutorials